We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval. Knowledge graphs are reshaping how we organize and make ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow? That’s ...

Google's Knowledge Graph is an important element of Search. Here's what it is and how to use it to drive more visitors to your website. Google’s introduction of the Knowledge Graph in 2012 was a ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Hinted at for months, Google formally launched its “Knowledge Graph” today. The new technology is being used to provide popular facts about people, places and things alongside Google’s traditional ...

A knowledge graph can even eliminate the need for large amounts of data to train machine learning algorithms (known as the “cold start problem”). When data is classified and linked, algorithms require ...

The last decade has witnessed a rapid development of deep learning applied in the field of recommendation 1. However, traditional deep learning recommendation systems have the problem of cold start ...

Deep learning models can accurately predict molecular properties and help making the search for potential drug candidates faster and more efficient. Many existing methods are purely data driven, ...